Meta recently released its latest AI model - Meta 3D Gen, which can quickly generate 3D content based on textual prompts in less than 1 minute. Zhongtai Securities said that after text, code, images, and videos, the next modality that is likely to achieve a breakthrough is 3D. From an industrial perspective, it is recommended to continue to track and monitor the progress of the Wensheng 3D modeling field.
Meta recently released its latest AI model, Meta 3D Gen, which can quickly generate 3D content with high-resolution textures and material maps based on text prompts in less than one minute. Additionally, it can adjust texture maps on the same 3D shape to help creators achieve rapid iterations.
Creating 3D assets has always been one of the most time-consuming and challenging issues for the design and development of electronic games, VR/AR applications, and film special effects industries. The rapid development of AI 3D generation technology has significant implications for the technological advancement of the 3D modeling industry. Artificial 3D modeling is time-consuming and labor-intensive, and the use of 3D images in games and film works was previously the privilege of only a few large companies. AI 3D generation technology can simplify the 3D modeling process and shorten the 3D modeling time. Zhongtai Securities stated that, following text, code, images, and videos, the next mode that is likely to achieve a breakthrough is probably 3D. Currently, overseas AI + 3D technology exploration mainly focuses on industrial and non-industrial scenes. From an industrial perspective, it is recommended to continue to track the progress of Wondershare's 3D modeling field.
According to the Financial Data Center, among related listed companies:
Wondershare Technology Group's Tianmu multimedia large model already includes algorithm capabilities such as Wen Sheng theme videos and Wen Sheng 3D videos.
Tianyu Digital Technology's Wen Sheng 3D technology is based on a physical scanning acquisition system, accumulating a large amount of data sets as Wen Sheng 3D large model training data sets, and using head reconstruction model HRN to accurately understand the user's intent.